Triple
T20507376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Falls of the Missouri |
E503468
|
entity |
| Predicate | RainbowFallsHeightApprox |
P47584
|
FINISHED |
| Object | 44 feet |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 44 feet | Statement: [Great Falls of the Missouri, RainbowFallsHeightApprox, 44 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RainbowFallsHeightApprox Context triple: [Great Falls of the Missouri, RainbowFallsHeightApprox, 44 feet]
-
A.
waterfallHeight
chosen
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
B.
lowerFallsHeight
Indicates that one entity has a lower vertical extent or height than another.
-
C.
heightAboveFalls
Indicates that one entity is located at a higher elevation than a waterfall or waterfalls associated with another entity.
-
D.
hasNumberOfWaterfalls
Indicates the quantity of waterfalls associated with a given entity.
-
E.
VirginiaFallsRelativeHeight
Indicates the relative vertical drop or height of Virginia Falls compared to a reference point or other waterfalls.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc82dd0819085d64d65a1e72c70 |
completed | April 20, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:36 a.m.